Executive Director AI and Machine Learning

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.The Executive Director, AI and Machine Learning, is a leadership position responsible for overseeing the governance, development, and implementation, of enterprise AI and ML solutions focused on IT operations and security excellence. This role is pivotal in establishing and enforcing standards, driving innovation, and delivering reliable, responsible and cost-effective AI-powered platforms, solutions, and insights in alignment with the organization's goals, policies, and standards. The Executive Director will play a critical role in unifying organizational AI/ML practices, optimizing IT operations, managing stakeholder relationships, and driving continuous improvement initiatives.PRIMARY DUTIES AND RESPONSIBILITIES:Governance Framework:

• Develop, implement, and enhance governance frameworks and policies to ensure effective oversight of operational and security-focused AI and ML solutions.
• Establish and enforce standards for the build, management, governance, and utilization of AI models and model execution platforms.
• Establish and socialize a framework for the documentation, proposal, evaluation, build, delivery, and ongoing value assessment of scalable operations and security-focused AI/ML solutions.
• Evaluate and certify foundational models for use within CVS Health, ensuring alignment with organizational goals and security requirements.
• Regularly assess and enhance the governance model and associated standards to address emerging challenges and opportunities.

• Establish and maintain robust MLOps, GenAIOps, and LLMOps practices.
• Build and manage pipelines to enable teams to design AI-powered applications, develop and experiment with models, and deploy, monitor, and maintain them in production.
• Drive delivery of AI and ML solutions providing provide deep insights and reporting on operations and security data.
• Develop proactive AI-driven solutions to measurably reduce time to detect security and operational issues, provide adaptive recommendations, and automate remediation.
• Deliver solutions to enable users to interact with operational data driving measurable improvements in productivity, performance, and innovation.
• Ensure compliance with regulatory requirements and ethical standards in AI/ML operations.
• Manage resources and budgets effectively, operating the AI and ML function as a standalone business unit with comprehensive reporting.

• Lead and mentor a team of data scientists, machine learning engineers, and full-stack engineers.
• Partner with other AI/ML Leaders within CVS Health to drive collaboration, alignment on best practices, and model reusability.
• Foster a collaborative and high-performance culture, promoting continuous learning and professional development.

• Ensure AI and ML platforms are built with scalability, reliability, safety, fairness, transparency, and security as core tenets.
• Design, build, and operate necessary on-premise AI processor infrastructure and platforms to effectively deploy and manage enterprise AI workloads.
• Drive the adoption of cutting-edge technologies and methodologies to continuously improve AI/ML capabilities and model performance.
• Collaborate with IT and cloud infrastructure teams to optimize the deployment environment for AI/ML models.

• Communicate the value and impact of AI/ML initiatives to senior leadership and other stakeholders.
• Engage with external partners, vendors, and industry experts to stay abreast of the latest trends and advancements in AI/ML, IT Operations, SRE, and Cybersecurity.
• Advocate for the adoption of AI/ML solutions across the organization.

• 15+ years leading Enterprise Machine Learning, Infrastructure, Data Science, and/or SRE practices
• 5+ years applying Machine Learning to optimize technology operations (AIOps)
• 10+ years at a leadership level or above, withing a Fortune 500 company with significant scale

• Proven experience leading AI governance, establishing and maintaining robust ML Ops environments, leading development of large-scale AI and ML platforms and solutions, and developing strategic partnerships with internal clients, industry experts, and vendors.
• Ability to develop and implement a comprehensive AI/ML strategy that aligns with the organization's business goals.
• Deep understanding of AI/ML technologies, including model development, deployment, MLOps, GenAIOps, and LLMOps practices. Demonstrated knowledge of and significant experience building and operating on-premise AI processor (e.g., GPU clusters) and platform architectures for the deployment and management of enterprise AI workloads.
• Experience with and commitment to ensuring AI/ML solutions are developed and deployed ethically, with a focus on fairness, transparency, and accountability.
• Familiarity with industry standards and regulations related to AI and Machine Learning.
• Strong leadership skills with the ability to inspire, motivate, and mentor a diverse team of data scientists, ML engineers, and MLOps professionals.
• In-depth knowledge of IT service management (ITSM), AI for IT operations (AI Ops), and Site Reliability Engineering (SRE) frameworks and best practices.
• Excellent communication and interpersonal skills, with the ability to articulate the value and impact of AI/ML initiatives to stakeholders and senior leadership.
• Ability to work collaboratively with cross-functional teams, including IT, data engineering, and business units.
• Proven track record driving operational efficiency and process improvements.
• Proficiency managing complex projects, with the ability to prioritize and manage multiple initiatives simultaneously, ensuring they are delivered on time and within budget.
• Knowledge of and experience with CSP-based AI/ML platforms (e.g., AWS Sagemaker, Azure Machine Learning, GCP Vertex AI).
• Ability to remain up to date with the latest advancements in AI/ML and related operational practices to ensure the organization remains at the forefront of technology.

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.